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Elon Musk Podcast

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Auto Labeling Machines - How to Easily Train and Train 10,000 Trips

Yae-gun Zhang: To successfully train and generalize this network to everywhere, we think we went tens of millions of trips from probably one million intersection or even more. So it is certainly achievable to source sufficient amount of trips because we already have like 500,000 trips per day cash rate. We've developed a new auto labeling machine powered by multi-trip reconstruction. This can replace 5 million hours of manual labeling with just 12 hours of cluster for labeling 10,000 trips.

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